题解 | 特征扩展实现

归一化和标准化

def feature_scaling(data):
    mean = np.mean(data, axis = 0)
    std = np.std(data, axis = 0)
    standardized_data = (data - mean) / std

    min_val = np.min(data, axis = 0)
    max_val = np.max(data, axis = 0)
    normalized_data = (data - min_val) / (max_val - min_val)
    return np.round(standardized_data, 4).tolist(), np.round(normalized_data, 4).tolist()